Faster Data Analytics Now Easy With daal4py

Published: 09/07/2017  

Last Updated: 09/07/2017

By Frank Schlimbach

Daal4py combines the ease-of-use you expect in python with the superior performance of Intel® Data Analytics Acceleration Library (DAAL) . With a few lines of code, you can compute common data analytics functions on huge data-sets and utilize all the cores on your desktop and even multiple systems in a cluster.

Daal4py is open source and is currently supported for Python 2.7 and 3.6 on Linux, macOS and Windows (python 3.6 only). It is recommended to use Intel® Distribution for Python* in conjunction with daal4py. Get it now through conda:

conda install -c intel daal4py

Daal4py's documentation can be found on https://intelpython.github.io/daal4py/index.html.

Daal4py's sources and build instructions are available on https://github.com/IntelPython/daal4py.

 

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.